The Custom Recommendation Engine for personalized content suggestions uses deep learning techniques to track students' interactions with learning materials over time. The solution provides valuable insights into students' learning paths and progress, allowing the implementation of a personalized recommendation engine to provide customers with unique and tailored experiences.

With the help of our solution, it becomes easy to achieve:

• Highly relevant content suggestions
• Content-based filtering
• Scalability and real-time recommendations
• Data privacy and security

Using AWS's advanced capabilities, such as secure and scalable storage with Amazon S3, efficient computing with AWS Lambda, and cutting-edge deep learning models with Amazon SageMaker, our solution provides accurate knowledge tracing and personalized recommendations for each student.